Multidisciplinary Design Optimization (MDO) is the most active fields in the current complex engineering system design. Forcing to the defects of traditional Collaborative Optimization, such as unable to convergence or falling into local optimum, we propose a Collaborate Optimization based on Simulated Annealing and Artificial Neural Networks, (SA-ANN-CO). The SA-ANN-CO algorithm inherit the pa...

In this study, an artificial neural networks study was carried out to predict the quantity of ammonia gas (NH3) of Granulated Blast Furnace Slag (GBFS) cement mortar. A data set of a laboratory work, in which a total of 4 mortars were produced, was utilized in the Artificial Neural Networks (ANNs) study. The mortar mixture parameters were four different GBFS ratios (0%, 20%, 40% and 60%). Measu...

Artificial Neural Networks (ANN) consist an alternative method of solving complex problems. They operate as a “black box” model learning from examples, which is capable of dealing with non-linear problems and predicting results at high speed. An advantage of using ANN is their ability to handle large and complex systems with many interrelated parameters. They seem to simply ignore excess data t...

objective(s): a fast and reliable evaluation of the binding energy from a single conformation of a molecular complex is an important practical task. artificial neural networks (anns) are strong tools for predicting nonlinear functions which are used in this paper to predict binding energy. we proposed a structure that obtains binding energy using physicochemical molecular descriptions of the se...

Artificial Intelligence (AI) techniques are increasingly used in various area due to their capability of handling complex systems specificities. Among the techniques of AI, Artificial Neural Networks (ANN) technique plays an important role. This technique is used in this work to perform important tasks encountered in Photovoltaic systems and in Wind Energy Systems: a) Maximum Power Point Tracki...

The application of Artificial Intelligence (AI) methods in power system protection has been addressed in this paper. Particular emphasis has been put on Artificial Neural Networks (ANN) and Fuzzy Logic (FL). Several novel concepts have been introduced including ANN application to CT and CVT transients correction, fuzzy criteria signals, fuzzy settings and multi-criteria decision making for digi...

Most of the time the processing capability and efficiency of computers are compared to that of a human brain. This comparison lays the basic foundation for Artificial Neural Networks (ANN). In today’s technological age, neural networks are finding applications in almost every field. In this paper, an application of an ANN approach is presented to implement digital circuits. This approach provid...

In this study, the Young modulus (E) of different coals was investigated using artificial neural networks (ANN). For purpose, a comprehensive literature survey carried out to compile such datasets available for ANN analyses. As result survey, database composed 81 formed. analyses, uniaxial compressive strength (UCS) and dry density (ρd) were adopted as input parameters. The analysis results dem...